Position: DATA SYS ANL 3 (Research Data Analyst) We invite a proactive and capable DATA SYS ANL 3 (Research Data Analyst) to lead and execute within a collaborative, agile environment. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Duties and Accountabilities: Ensure data quality, accuracy, and integrity through validation and governance frameworks. Maintain and optimise databases, data warehouses, and cloud-based data environments. Apply predictive and prescriptive analytics to solve complex business challenges. Document data architecture, lineage, and metadata management practices comprehensively. Develop and validate machine learning models ensuring scalability and production readiness. Work with stakeholders to define data requirements and translate them into analytical solutions. Build interactive dashboards and reports that translate insights into business narratives. Identify trends, anomalies, and patterns to generate actionable business intelligence. Key Skills and Qualifications: 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Effective presentation skills with the ability to communicate complex ideas with clarity. Advanced competency in analytical tools, reporting platforms, and role-specific technology. Sound understanding of organisational dynamics and stakeholder management in complex environments. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Recognised qualification in the relevant professional field at the undergraduate or graduate level. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Health Data Analyst We are currently recruiting a results-oriented Health Data Analyst to strengthen our high-performing team. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Primary Duties and Responsibilities: Ensure compliance with data governance, privacy regulations, and security standards. Develop scalable data engineering pipelines to ingest, transform, and serve data. Collaborate with engineering teams to embed analytics and AI into core product workflows. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Design data models and schemas optimised for analytical and high-performance workloads. Publish insights, model performance reports, and data science findings to leadership. Build A/B testing frameworks and experimentation infrastructure for product teams. Implement data quality monitoring and automated alerting frameworks for pipelines. Required Qualifications: Detail-oriented mindset with the ability to synthesise and present complex information clearly. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Proficiency in relevant software and digital tools specific to the functional area. Commitment to ongoing professional learning and industry knowledge enhancement. Ability to work both independently and in a team-oriented, collaborative environment. At least 24 years of hands-on experience in a comparable professional setting. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.

Position: RSCH DATA ANL 1 (Poultry Data Analyst) Join our forward-thinking team as a RSCH DATA ANL 1 (Poultry Data Analyst) and play a pivotal role in our continued success. This role provides exposure to strategic initiatives and direct collaboration with senior leadership. Primary Duties and Responsibilities: Ensure compliance with data governance, privacy regulations, and security standards. Train, evaluate, and deploy machine learning models across classification and regression tasks. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Optimise SQL queries, stored procedures, and database performance across environments. Design data models and schemas optimised for analytical and high-performance workloads. Collaborate with engineering teams to embed analytics and AI into core product workflows. Implement data quality monitoring and automated alerting frameworks for pipelines. Publish insights, model performance reports, and data science findings to leadership. Required Qualifications: Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Commitment to ongoing professional learning and industry knowledge enhancement. At least 24 years of hands-on experience in a comparable professional setting. Ability to work both independently and in a team-oriented, collaborative environment. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Strong interpersonal and stakeholder management skills with a client-service orientation. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This role offers exceptional career growth, a collaborative culture, and a compensation structure aligned to market benchmarks.

Position: PCCI, BI Data Analyst We seek a dedicated and solutions-focused PCCI, BI Data Analyst to join our cross-functional, high-performing team. The candidate will join a globally connected team that prizes diverse perspectives and operational excellence. Responsibilities Include: Document data architecture, lineage, and metadata management practices comprehensively. Maintain and optimise databases, data warehouses, and cloud-based data environments. Identify trends, anomalies, and patterns to generate actionable business intelligence. Build interactive dashboards and reports that translate insights into business narratives. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Present analytical findings to technical and non-technical stakeholders with clarity. Work with stakeholders to define data requirements and translate them into analytical solutions. Develop and validate machine learning models ensuring scalability and production readiness. Skills and Qualifications: Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Strong communication, presentation, and interpersonal skills across all organisational levels. Hands-on experience with tools, software, and platforms standard to the profession. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. 26 years of relevant industry experience with evidence of increasing responsibility. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This position represents a unique platform for a high-calibre professional to make a lasting contribution.

Position: Business Data Analyst A distinguished opportunity awaits a seasoned Business Data Analyst within our progressive, innovation-led organisation. This role provides exposure to strategic initiatives and direct collaboration with senior leadership. Primary Duties and Responsibilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Publish insights, model performance reports, and data science findings to leadership. Ensure compliance with data governance, privacy regulations, and security standards. Train, evaluate, and deploy machine learning models across classification and regression tasks. Design data models and schemas optimised for analytical and high-performance workloads. Implement data quality monitoring and automated alerting frameworks for pipelines. Collaborate with engineering teams to embed analytics and AI into core product workflows. Required Qualifications: Proficiency in relevant software and digital tools specific to the functional area. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Commitment to ongoing professional learning and industry knowledge enhancement. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Ability to work both independently and in a team-oriented, collaborative environment. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This role offers exceptional career growth, a collaborative culture, and a compensation structure aligned to market benchmarks.

Position: Data Analyst, Ops Excellence We are expanding our team and seek a driven Data Analyst, Ops Excellence who brings expertise, initiative, and professionalism. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Key Responsibilities: Ensure data quality, accuracy, and integrity through validation and governance frameworks. Build interactive dashboards and reports that translate insights into business narratives. Identify trends, anomalies, and patterns to generate actionable business intelligence. Present analytical findings to technical and non-technical stakeholders with clarity. Document data architecture, lineage, and metadata management practices comprehensively. Collect, process, and analyse large datasets using statistical and machine learning methods. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Work with stakeholders to define data requirements and translate them into analytical solutions. Qualifications and Requirements: Minimum 35 years of progressive professional experience in a comparable role. Demonstrated proficiency with industry-standard tools, platforms, and methodologies. Experience collaborating within cross-functional teams and matrix organisational structures. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. High degree of professionalism, integrity, and alignment with organisational values. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.

Position: Data Analyst - Marketing & Sales Solutions We are currently recruiting a results-oriented Data Analyst - Marketing & Sales Solutions to strengthen our high-performing team. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Role Responsibilities: Develop scalable data engineering pipelines to ingest, transform, and serve data. Implement data quality monitoring and automated alerting frameworks for pipelines. Build A/B testing frameworks and experimentation infrastructure for product teams. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Train, evaluate, and deploy machine learning models across classification and regression tasks. Build self-service analytics capabilities that empower business teams to explore data. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Optimise SQL queries, stored procedures, and database performance across environments. Education and Experience Requirements: Minimum 35 years of progressive professional experience in a comparable role. High degree of professionalism, integrity, and alignment with organisational values. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. Strong analytical and problem-solving skills with the ability to navigate complex challenges. Demonstrated proficiency with industry-standard tools, platforms, and methodologies. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.

Position: Data Analyst A dynamic organisation seeks an experienced Data Analyst to take on a multifaceted and impactful role. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Primary Duties and Responsibilities: Train, evaluate, and deploy machine learning models across classification and regression tasks. Build self-service analytics capabilities that empower business teams to explore data. Optimise SQL queries, stored procedures, and database performance across environments. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Implement data quality monitoring and automated alerting frameworks for pipelines. Design data models and schemas optimised for analytical and high-performance workloads. Build A/B testing frameworks and experimentation infrastructure for product teams. Collaborate with engineering teams to embed analytics and AI into core product workflows. Required Qualifications: Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Proficiency in relevant software and digital tools specific to the functional area. Ability to work both independently and in a team-oriented, collaborative environment. Commitment to ongoing professional learning and industry knowledge enhancement. Strong interpersonal and stakeholder management skills with a client-service orientation. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We look forward to welcoming a driven professional who shares our commitment to excellence and sustained impact.

Position: Survey Data Analyst Join our forward-thinking team as a Survey Data Analyst and play a pivotal role in our continued success. This position is embedded within a high-functioning team that prizes collaboration, innovation, and quality. Primary Duties and Responsibilities: Build A/B testing frameworks and experimentation infrastructure for product teams. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Publish insights, model performance reports, and data science findings to leadership. Build self-service analytics capabilities that empower business teams to explore data. Ensure compliance with data governance, privacy regulations, and security standards. Design data models and schemas optimised for analytical and high-performance workloads. Implement data quality monitoring and automated alerting frameworks for pipelines. Train, evaluate, and deploy machine learning models across classification and regression tasks. Required Qualifications: Commitment to ongoing professional learning and industry knowledge enhancement. At least 24 years of hands-on experience in a comparable professional setting. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Ability to work both independently and in a team-oriented, collaborative environment. Strong interpersonal and stakeholder management skills with a client-service orientation. Proficiency in relevant software and digital tools specific to the functional area. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Applications are reviewed on a rolling basis; suitably qualified individuals are encouraged to apply promptly.

Position: Senior Data Analyst We are expanding our team and seek a driven Senior Data Analyst who brings expertise, initiative, and professionalism. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Core Responsibilities: Apply predictive and prescriptive analytics to solve complex business challenges. Collect, process, and analyse large datasets using statistical and machine learning methods. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Identify trends, anomalies, and patterns to generate actionable business intelligence. Present analytical findings to technical and non-technical stakeholders with clarity. Work with stakeholders to define data requirements and translate them into analytical solutions. Document data architecture, lineage, and metadata management practices comprehensively. Develop and validate machine learning models ensuring scalability and production readiness. Minimum Qualifications: Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Strong project management capabilities with experience in agile or structured methodologies. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Superior writing and communication skills with experience preparing executive-level documents. Collaborative, proactive, and able to operate effectively with minimal supervision. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.